Case Studies/Meridian Health
Healthcare

Meridian Health

73% faster intake. 99.2% accuracy. Zero patient friction.

meridianhealth.com/dashboard

0%

Faster Intake

0.0%

Data Accuracy

0%

Less Admin Work

0

Clinics Deployed

[ THE PROBLEM ]

What was broken

Meridian Health's 12 clinics were using paper forms and manual data entry for patient intake. Staff spent 22 minutes per patient on average just processing paperwork. Errors in transcription led to 8% of records containing mistakes — a compliance nightmare in healthcare.

[ THE SOLUTION ]

How we fixed it

We designed a conversational AI intake system accessible via tablet, phone, or web. The system uses natural language understanding to collect patient history through a guided conversation, auto-populates EHR fields via HL7 FHIR integration, and flags inconsistencies for nurse review. Multi-language support covers the clinic's diverse patient base.

Conversational AIHL7 FHIRNLP PipelineMulti-language SupportReact NativeNode.js

[ THE RESULTS ]

What changed

  • Intake time reduced from 22 minutes to 6 minutes per patient
  • Data accuracy improved from 92% to 99.2%
  • Front desk staff reduced administrative workload by 65%
  • Patient no-show rate dropped 18% due to better pre-visit communication

Our nurses used to spend half their day on paperwork. Now they spend it with patients. That's the kind of AI implementation that actually matters.

Dr. James Liu

Chief Medical Officer, Meridian Health

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